Articles | Volume 8, issue 7
https://doi.org/10.5194/gmd-8-1955-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-1955-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
07 Jul 2015
Methods for assessment of models |
| 07 Jul 2015
GASAKe: forecasting landslide activations by a genetic-algorithms-based hydrological model
O. G. Terranova
CNR-IRPI (National Research Council – Research Institute for Geo-Hydrological Protection), via Cavour 6, 87036, Rende, Cosenza, Italy
CNR-IRPI (National Research Council – Research Institute for Geo-Hydrological Protection), via Madonna Alta 126, 06128, Perugia, Italy
University of Perugia, Department of Physics and Geology, via A. Pascoli, 06123, Perugia, Italy
P. Iaquinta
CNR-IRPI (National Research Council – Research Institute for Geo-Hydrological Protection), via Cavour 6, 87036, Rende, Cosenza, Italy
G. G. R. Iovine
CNR-IRPI (National Research Council – Research Institute for Geo-Hydrological Protection), via Cavour 6, 87036, Rende, Cosenza, Italy
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Cited
14 citations as recorded by crossref.
- Rainfall thresholds for possible landslide occurrence in Italy S. Peruccacci et al. 10.1016/j.geomorph.2017.03.031
- Development of a Bayesian network-based early warning system for storm-driven coastal erosion J. Garzon et al. 10.1016/j.coastaleng.2024.104460
- Examples of Application of GASAKe for Predicting the Occurrence of Rainfall-Induced Landslides in Southern Italy O. Terranova et al. 10.3390/geosciences8020078
- Rainfall conditions leading to runoff-initiated post-fire debris flows in Campania, Southern Italy G. Esposito et al. 10.1016/j.geomorph.2022.108557
- Territorial early warning systems for rainfall-induced landslides L. Piciullo et al. 10.1016/j.earscirev.2018.02.013
- Geomorphic effects caused by heavy rainfall in southern Calabria (Italy) on 30 October–1 November 2015 V. Rago et al. 10.1080/17445647.2017.1390499
- Application of metaheuristic algorithms to optimal clustering of sawing machine vibration A. Aryafar et al. 10.1016/j.measurement.2018.03.056
- A review of the recent literature on rainfall thresholds for landslide occurrence S. Segoni et al. 10.1007/s10346-018-0966-4
- Basic features of the predictive tools of early warning systems for water-related natural hazards: examples for shallow landslides R. Greco & L. Pagano 10.5194/nhess-17-2213-2017
- Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides L. Piciullo et al. 10.1007/s10346-016-0750-2
- Debris flow run-out simulation and analysis using a dynamic model R. Melo et al. 10.5194/nhess-18-555-2018
- Triggering of Rain-Induced Landslides, with Applications in Southern Italy A. D’Ippolito et al. 10.3390/w15020277
- Applications of artificial intelligence for disaster management W. Sun et al. 10.1007/s11069-020-04124-3
- Forecasting reservoir-induced landslide deformation using genetic algorithm enhanced multivariate Taylor series Kalman filter K. Liao et al. 10.1007/s10064-022-02595-1
13 citations as recorded by crossref.
- Rainfall thresholds for possible landslide occurrence in Italy S. Peruccacci et al. 10.1016/j.geomorph.2017.03.031
- Development of a Bayesian network-based early warning system for storm-driven coastal erosion J. Garzon et al. 10.1016/j.coastaleng.2024.104460
- Examples of Application of GASAKe for Predicting the Occurrence of Rainfall-Induced Landslides in Southern Italy O. Terranova et al. 10.3390/geosciences8020078
- Rainfall conditions leading to runoff-initiated post-fire debris flows in Campania, Southern Italy G. Esposito et al. 10.1016/j.geomorph.2022.108557
- Territorial early warning systems for rainfall-induced landslides L. Piciullo et al. 10.1016/j.earscirev.2018.02.013
- Geomorphic effects caused by heavy rainfall in southern Calabria (Italy) on 30 October–1 November 2015 V. Rago et al. 10.1080/17445647.2017.1390499
- Application of metaheuristic algorithms to optimal clustering of sawing machine vibration A. Aryafar et al. 10.1016/j.measurement.2018.03.056
- A review of the recent literature on rainfall thresholds for landslide occurrence S. Segoni et al. 10.1007/s10346-018-0966-4
- Basic features of the predictive tools of early warning systems for water-related natural hazards: examples for shallow landslides R. Greco & L. Pagano 10.5194/nhess-17-2213-2017
- Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides L. Piciullo et al. 10.1007/s10346-016-0750-2
- Debris flow run-out simulation and analysis using a dynamic model R. Melo et al. 10.5194/nhess-18-555-2018
- Triggering of Rain-Induced Landslides, with Applications in Southern Italy A. D’Ippolito et al. 10.3390/w15020277
- Applications of artificial intelligence for disaster management W. Sun et al. 10.1007/s11069-020-04124-3
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Short summary
A model for predicting the timing of activation of rainfall-induced landslides is presented. Calibration against real events is based on genetic algorithms, and provides a family of optimal solutions (kernels) that maximize a fitness function. Accordingly, a set of mobility functions is obtained through convolution with rainfall. Once properly validated, the model allows one to estimate future landslide activations in the same study area, by employing either recorded or forecasted rainfall.
A model for predicting the timing of activation of rainfall-induced landslides is presented....
